Dashboard
Row
Participant Response Data for Mental Workload
Link to Study
Example Virtual Reality Data Collection Process
Row
Participant Response Data for Physical Workload
Environmental Temperature During Data Collection
Participant Experience levels with VR Technology
Treatments Info
Treatment Conditions Defined
| Treatment | Frequency | Intensity |
|---|---|---|
| Treatment 1 | 0% Frequency | 0% Intensity |
| Treatment 2 | 25% Frequency | 50% Intensity |
| Treatment 3 | 50% Frequency | 50% Intensity |
| Treatment 4 | 75% Frequency | 50% Intensity |
| Treatment 5 | 100% Frequency | 25% Intensity |
| Treatment 6 | 100% Frequency | 50% Intensity |
| Treatment 7 | 100% Frequency | 75% Intensity |
| Treatment 8 | 100% Frequency | 100% Intensity |
Summary Statistics
Column
Mental Workload ANOVA
| npar | Sum Sq | Mean Sq | F value | P-Values | |
|---|---|---|---|---|---|
| factor(time_point) | 3 | 1.296875 | 0.4322917 | 2.921480 | 0.0427133 |
| factor(puzzle) | 3 | 3.546875 | 1.1822917 | 7.990072 | 0.0001838 |
| factor(treatment) | 7 | 2.278619 | 0.3255170 | 2.199884 | 0.0495566 |
Mental LMER Coefficients
| Estimate | Std..Error | t.value | p.value | |
|---|---|---|---|---|
| (Intercept) | 1.9402471 | 0.2625672 | 7.3895265 | 0.0000000 |
| factor(time_point)2 | -0.2500000 | 0.1360010 | -1.8382223 | 0.0660297 |
| factor(time_point)3 | -0.3125000 | 0.1360010 | -2.2977779 | 0.0215744 |
| factor(time_point)4 | 0.0000000 | 0.1360010 | 0.0000000 | 1.0000000 |
| factor(puzzle)spring | 0.0625000 | 0.1360010 | 0.4595556 | 0.6458352 |
| factor(puzzle)summer | 0.5000000 | 0.1360010 | 3.6764447 | 0.0002365 |
| factor(puzzle)winter | -0.1250000 | 0.1360010 | -0.9191112 | 0.3580374 |
| factor(treatment)Trt 2 | -0.0576198 | 0.2089003 | -0.2758245 | 0.7826829 |
| factor(treatment)Trt 3 | -0.1758422 | 0.1966091 | -0.8943746 | 0.3711215 |
| factor(treatment)Trt 4 | 0.1207893 | 0.2835852 | 0.4259366 | 0.6701540 |
| factor(treatment)Trt 5 | 0.4320057 | 0.2289952 | 1.8865279 | 0.0592239 |
| factor(treatment)Trt 6 | -0.1353744 | 0.2139905 | -0.6326187 | 0.5269827 |
| factor(treatment)Trt 7 | -0.2500000 | 0.1923344 | -1.2998195 | 0.1936628 |
| factor(treatment)Trt 8 | -0.1826198 | 0.2089003 | -0.8741959 | 0.3820116 |
Column
Physical Workload ANOVA
| npar | Sum Sq | Mean Sq | F value | P-Values | |
|---|---|---|---|---|---|
| factor(time_point) | 3 | 1.562500 | 0.5208333 | 2.195339 | 0.0998952 |
| factor(puzzle) | 3 | 2.187500 | 0.7291667 | 3.073474 | 0.0358032 |
| factor(treatment) | 7 | 3.434451 | 0.4906359 | 2.068055 | 0.0641145 |
Physical LMER Coefficients
| Estimate | Std..Error | t.value | p.value | |
|---|---|---|---|---|
| (Intercept) | 1.9187588 | 0.3086177 | 6.2172679 | 0.0000000 |
| factor(time_point)2 | -0.1875000 | 0.1722081 | -1.0887989 | 0.2762426 |
| factor(time_point)3 | -0.4375000 | 0.1722081 | -2.5405307 | 0.0110684 |
| factor(time_point)4 | -0.2500000 | 0.1722081 | -1.4517318 | 0.1465762 |
| factor(puzzle)spring | 0.2500000 | 0.1722081 | 1.4517318 | 0.1465762 |
| factor(puzzle)summer | 0.5000000 | 0.1722081 | 2.9034637 | 0.0036906 |
| factor(puzzle)winter | 0.1250000 | 0.1722081 | 0.7258659 | 0.4679210 |
| factor(treatment)Trt 2 | -0.3363251 | 0.2637260 | -1.2752827 | 0.2022092 |
| factor(treatment)Trt 3 | -0.1405048 | 0.2477575 | -0.5671062 | 0.5706420 |
| factor(treatment)Trt 4 | -0.2559054 | 0.3563163 | -0.7181971 | 0.4726358 |
| factor(treatment)Trt 5 | 0.2874825 | 0.2879857 | 0.9982525 | 0.3181570 |
| factor(treatment)Trt 6 | -0.0011924 | 0.2696213 | -0.0044225 | 0.9964714 |
| factor(treatment)Trt 7 | -0.1250000 | 0.2435391 | -0.5132647 | 0.6077662 |
| factor(treatment)Trt 8 | 0.4136749 | 0.2637260 | 1.5685785 | 0.1167462 |